FingeRate Whitepaper v4.0
  • 🇹🇻FingeRate Whitepaper v4
  • 1. ABSTRACT
  • 2. Project Background
    • 2.1 Market Overview
    • 2.2 Limitations of current consumer satisfaction survey systems
    • 2.3 Solution
  • 3. FingeRate Services
    • 3.1 Vision
    • 3.2 FingeRate Bot (Touchless survey kiosk)
    • 3.3 FingeRate App
      • 3.3.1 What is FingeRate App?
      • 3.3.2 What is S2E?
      • 3.3.3 Potential Users
      • 3.3.4 App User Flow
    • 3.4 Offline to Online
    • 3.6 Other Services
      • 3.6.1 Pass&Go
      • 3.6.2 PCL FREE PASS
      • 3.6.3 2022 Seoul SIGNIS World Congress in Metaverse
  • 4. Tokenomy & Ecosystem
    • 4.1 FingeRate Ecosystem
    • 4.2 Tokens and Mileage unit
      • 4.2.1 MSOT ERC-20 Token
      • 4.2.2 SoM (SoT Mileage) App Mileage
      • 4.2.3 SOT NFT ERC-721 Token
  • 5. Technology
    • 5.1 Smart Contract based FingeRate Protocol
      • 5.1.1 ERC-721 VIRTUAL BOT NFT Smart Contract
      • 5.1.2 ERC-20 MSOT Smart Contract
      • 5.1.3 Profit Distribution Smart Contract
    • 5.2 FingeRate Server Nodes
    • 5.3 Real-Time User Interface (FingeRate App)
  • 6. Roadmap
  • 7. FingeRate Team
    • 7.1 Founders & Lead Team
    • 7.2 International Advisory Board
    • 7.3 Local Advisors
  • 8. Disclaimer
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  1. 2. Project Background

2.2 Limitations of current consumer satisfaction survey systems

I. Issues with offline evaluation systems

  • Very costly and time-consuming

  • Additional process for data entry

  • Impossible real-time data monitoring

  • Low accuracy due to sampling issues

II. Issue with online evaluation systems

  • Low data credibility due to easy data manipulation

  • Lack of integrated platforms due to incompatibility with other institutions

  • Too much advertising influence

  • Low participation rate due to poor compensation system

Additionally, none of these methods puts extensive focus on user data security. Therefore, the data of the users is susceptible to data theft or permanent loss of valuable data.

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Last updated 2 years ago